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1 計量国語学アーカイブ ID KK 種別解説タイトルデータの視覚化 (6) Rによる樹形図の作成 Title Data Visualization (6): Making Dendrogram in R statics 著者林直樹 Author HAYASHI Naoki 掲載号 30 巻 6 号発行日 2016 年 9 月 20 日開始ページ 378 終了ページ 390 著作権者計量国語学会

2 pp R R Word R R R R Excel SPSS R Microsoft Word 2016 OS Windows7 Word2010 Microsoft Office2010 R Emacs ESS R R R R Wiki R

3 30 6 pp Excel SPSS Web RStudio R Wiki R R ggplot Romesburg Romesburg csv test R 1 test <- read.csv("test.csv") 1 R 379

4 30 6 pp test_dist <- (dist(test[,4:8], method = "euclidean")^2) dist euclideanmaximum manhattancanberrabinary minkowski Ward 3 test_clst <- hclust(test_dist, method= "ward") plot R Graphics 4 plot(test_clst) R Ward 2 ward.d Rhelp R-devel/library/stats/html/hclust.html 380

5 30 6 pp Cluster Dendrogram Height test_dist hclust (*, "ward.d") 1 1 2Cluster Dendrogramtest_dist test <- read.csv("test.csv", row.names = 2) 2 381

6 30 6 pp rownames(test) <-c(" "," "," "," ", " "," "," "," "," "," ") 5 6 test_dist <- (dist(test[,3:7], method = "euclidean")^2) 7 test_clst <- hclust(test_dist, method= "ward") 8 plot(test_clst) Cluster Dendrogram Height test_dist hclust (*, "ward.d") 2 382

7 30 6 pp Cluster Dendrogram Height test_dist hclust (*, "ward.d") 3 plot 9 plot(test_clst, 10 main = "", ## 11 sub = "", ## 12 xlab = "" ## x 13 ) ## x = "" plot x y xlab = ""ylab = "" 383

8 30 6 pp Height par 14 par( 15 ps=20, ## 16 mar=c(2, 6, 2, 0.5), ## 17 par(lwd = 2), ## 18 par(lty = 1) ## 19 ) 2 3 lty = dashed par plot 384

9 30 6 pp Height par 2 rect.hclust 20 rect.hclust(test_clst, k = 2, border = "black") k = border = par lty 385

10 30 6 pp Height R Graphics PDF 21 dev.copy2pdf(file = "test_clst.pdf", family = "Japan1GothicBBB") file = family = test_clst.pdf PDF PDF Word PDF PDF 386

11 30 6 pp Word 387

12 30 6 pp PDF Height PDF R R R Excel Excel 388

13 30 6 pp R R B 16K R The R Tips SPSS IT R IT H.Charles Romesburg IT

14 Mathematical Linguistics, Vol.30 No.6 (September 2016) pp Tutorial Data Visualization (6): Making Dendrogram in R statics HAYASHI Naoki (Nihon University College of Humanities and Sciences) Abstract: In this paper, I describe how to create a graph using the statistical software R. When creating a graph, rather than simply pasting the initial output, we alternately list commands to add various changes so that we are able to plot the final output or results. To explain this process, I use a dendrogram. The dendrogram describes how various kinds of information from the initial output can be changed from the command line. It also explains the method of plotting the output or resultant graph onto a Word document. Finally, I also provide a list of points to note when creating a chart in R. Keywords: R statics, cluster analysis, dendrogram 390

30 1 2015 6 pp.33-48. Excel Excel Excel Microsoft Excel 2015 OS Windows7 Excel2010(Microsoft Office2010) Office 2007 2013 Excel 2 Excel 33

30 1 2015 6 pp.33-48. Excel Excel Excel Microsoft Excel 2015 OS Windows7 Excel2010(Microsoft Office2010) Office 2007 2013 Excel 2 Excel 33 計量国語学アーカイブ ID KK300103 種別解説タイトルデータの視覚化 (1) Excelによるグラフ作成の基本 (1) Title Data Visualization (1): Making Basic Charts in Microsoft Excel (Part 1) 著者林直樹 Author HAYASHI Naoki 掲載号 30 巻